Pandas Profiling Report

Dataset statistics

Number of variables	52
Number of observations	10001
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	174
Duplicate rows (%)	1.7%
Total size in memory	4.0 MiB
Average record size in memory	416.0 B

Variable types

Numeric	7
Categorical	45

Alerts

`soil_type_7` has constant value "0"	Constant
`soil_type_15` has constant value "0"	Constant
Dataset has 174 (1.7%) duplicate rows	Duplicates
`horizontal_distance_to_hydrology` is highly correlated with `Vertical_Distance_To_Hydrology`	High correlation
`Vertical_Distance_To_Hydrology` is highly correlated with `horizontal_distance_to_hydrology`	High correlation
`wilderness_area1` is highly correlated with `Horizontal_Distance_To_Roadways` and 2 other fields	High correlation
`wilderness_area3` is highly correlated with `Horizontal_Distance_To_Roadways` and 2 other fields	High correlation
`soil_type_29` is highly correlated with `wilderness_area1` and 1 other fields	High correlation
`elevation` is highly correlated with `Horizontal_Distance_To_Roadways` and 4 other fields	High correlation
`wilderness_area4` is highly correlated with `elevation` and 3 other fields	High correlation
`soil_type_21` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_27` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`class` is highly correlated with `elevation` and 1 other fields	High correlation
`wilderness_area2` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_2` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_3` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_17` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_15` is highly correlated with `soil_type_21` and 43 other fields	High correlation
`soil_type_36` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_12` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_8` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_30` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_11` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_24` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_14` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_6` is highly correlated with `wilderness_area4`	High correlation
`soil_type_25` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_39` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_16` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_19` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_10` is highly correlated with `elevation` and 1 other fields	High correlation
`soil_type_13` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_20` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_38` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_33` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_1` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_9` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_31` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_32` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_22` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_23` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_34` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_7` is highly correlated with `soil_type_21` and 43 other fields	High correlation
`soil_type_26` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_18` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_28` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_35` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_4` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_5` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_37` is highly correlated with `soil_type_15` and 1 other fields	High correlation
`soil_type_40` is highly correlated with `elevation`	High correlation
`Horizontal_Distance_To_Roadways` is highly correlated with `elevation` and 2 other fields	High correlation
`horizontal_distance_to_hydrology` has 423 (4.2%) zeros	Zeros
`Vertical_Distance_To_Hydrology` has 683 (6.8%) zeros	Zeros

Reproduction

Analysis started	2023-01-07 05:18:02.110834
Analysis finished	2023-01-07 05:18:26.616115
Duration	24.51 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

elevation
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1377
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2960.542546

Minimum	1891
Maximum	3814
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	1891
5-th percentile	2415
Q1	2806
median	3000
Q3	3162
95-th percentile	3335
Maximum	3814
Range	1923
Interquartile range (IQR)	356

Descriptive statistics

Standard deviation	279.6504973
Coefficient of variation (CV)	0.09445920568
Kurtosis	0.725532232
Mean	2960.542546
Median Absolute Deviation (MAD)	174
Skewness	-0.8074272871
Sum	29608386
Variance	78204.40061
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3001	38	0.4%
2988	37	0.4%
2942	35	0.3%
2965	34	0.3%
3021	31	0.3%
2929	30	0.3%
3011	29	0.3%
3008	29	0.3%
3149	29	0.3%
3031	29	0.3%
Other values (1367)	9680	96.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1891	1	< 0.1%
1916	2	< 0.1%
1926	2	< 0.1%
1928	1	< 0.1%
1932	1	< 0.1%
1939	1	< 0.1%
1948	2	< 0.1%
1963	1	< 0.1%
1967	1	< 0.1%
1970	1	< 0.1%

Value	Count	Frequency (%)
3814	1	< 0.1%
3802	1	< 0.1%
3777	1	< 0.1%
3753	1	< 0.1%
3690	1	< 0.1%
3686	1	< 0.1%
3674	1	< 0.1%
3650	1	< 0.1%
3648	1	< 0.1%
3635	1	< 0.1%

aspect
Real number (ℝ_≥0)

Distinct	360
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	154.6730327

Minimum	0
Maximum	359
Zeros	83
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	12
Q1	57
median	125
Q3	260
95-th percentile	344
Maximum	359
Range	359
Interquartile range (IQR)	203

Descriptive statistics

Standard deviation	111.8877334
Coefficient of variation (CV)	0.7233822951
Kurtosis	-1.216398199
Mean	154.6730327
Median Absolute Deviation (MAD)	84
Skewness	0.4146681274
Sum	1546885
Variance	12518.86488
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	135	1.3%
0	83	0.8%
315	74	0.7%
90	73	0.7%
135	72	0.7%
27	68	0.7%
63	61	0.6%
39	61	0.6%
32	60	0.6%
49	60	0.6%
Other values (350)	9254	92.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	83	0.8%
1	30	0.3%
2	47	0.5%
3	40	0.4%
4	33	0.3%
5	33	0.3%
6	28	0.3%
7	28	0.3%
8	39	0.4%
9	47	0.5%

Value	Count	Frequency (%)
359	18	0.2%
358	28	0.3%
357	30	0.3%
356	36	0.4%
355	38	0.4%
354	43	0.4%
353	32	0.3%
352	33	0.3%
351	35	0.3%
350	32	0.3%

slope
Real number (ℝ_≥0)

Distinct	49
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.12118788

Minimum	0
Maximum	60
Zeros	12
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	9
median	13
Q3	18
95-th percentile	28
Maximum	60
Range	60
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.474564337
Coefficient of variation (CV)	0.5293155505
Kurtosis	0.6774246413
Mean	14.12118788
Median Absolute Deviation (MAD)	5
Skewness	0.7954095719
Sum	141226
Variance	55.86911203
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
12	612	6.1%
11	596	6.0%
10	580	5.8%
13	576	5.8%
9	520	5.2%
14	514	5.1%
8	503	5.0%
15	498	5.0%
7	452	4.5%
16	422	4.2%
Other values (39)	4728	47.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	0.1%
1	61	0.6%
2	129	1.3%
3	198	2.0%
4	275	2.7%
5	385	3.8%
6	408	4.1%
7	452	4.5%
8	503	5.0%
9	520	5.2%

Value	Count	Frequency (%)
60	1	< 0.1%
57	1	< 0.1%
48	1	< 0.1%
46	4	< 0.1%
44	1	< 0.1%
43	5	< 0.1%
42	3	< 0.1%
41	4	< 0.1%
40	5	< 0.1%
39	8	0.1%

horizontal_distance_to_hydrology
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	349
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	267.0122988

Minimum	0
Maximum	1356
Zeros	423
Zeros (%)	4.2%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	30
Q1	108
median	216
Q3	384
95-th percentile	680
Maximum	1356
Range	1356
Interquartile range (IQR)	276

Descriptive statistics

Standard deviation	211.5848812
Coefficient of variation (CV)	0.7924162376
Kurtosis	1.415242863
Mean	267.0122988
Median Absolute Deviation (MAD)	131
Skewness	1.155646571
Sum	2670390
Variance	44768.16195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	610	6.1%
0	423	4.2%
150	348	3.5%
60	320	3.2%
67	270	2.7%
85	262	2.6%
108	241	2.4%
90	223	2.2%
42	220	2.2%
120	195	1.9%
Other values (339)	6889	68.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	423	4.2%
30	610	6.1%
42	220	2.2%
60	320	3.2%
67	270	2.7%
85	262	2.6%
90	223	2.2%
95	158	1.6%
108	241	2.4%
120	195	1.9%

Value	Count	Frequency (%)
1356	1	< 0.1%
1273	1	< 0.1%
1253	1	< 0.1%
1237	2	< 0.1%
1234	1	< 0.1%
1209	1	< 0.1%
1200	3	< 0.1%
1188	1	< 0.1%
1172	2	< 0.1%
1167	1	< 0.1%

Vertical_Distance_To_Hydrology
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	404
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.40845915

Minimum	-147
Maximum	463
Zeros	683
Zeros (%)	6.8%
Negative	939
Negative (%)	9.4%
Memory size	78.3 KiB

Quantile statistics

Minimum	-147
5-th percentile	-8
Q1	7
median	29
Q3	70
95-th percentile	166
Maximum	463
Range	610
Interquartile range (IQR)	63

Descriptive statistics

Standard deviation	57.93035857
Coefficient of variation (CV)	1.248271536
Kurtosis	3.960834615
Mean	46.40845915
Median Absolute Deviation (MAD)	27
Skewness	1.654804585
Sum	464131
Variance	3355.926444
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	683	6.8%
3	164	1.6%
6	152	1.5%
4	149	1.5%
10	141	1.4%
7	138	1.4%
1	135	1.3%
13	133	1.3%
9	133	1.3%
23	133	1.3%
Other values (394)	8040	80.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-147	1	< 0.1%
-130	2	< 0.1%
-125	1	< 0.1%
-121	1	< 0.1%
-116	1	< 0.1%
-113	2	< 0.1%
-112	1	< 0.1%
-105	2	< 0.1%
-101	1	< 0.1%
-97	1	< 0.1%

Value	Count	Frequency (%)
463	1	< 0.1%
431	1	< 0.1%
405	1	< 0.1%
395	1	< 0.1%
393	1	< 0.1%
392	1	< 0.1%
380	1	< 0.1%
349	1	< 0.1%
348	1	< 0.1%
346	1	< 0.1%

Horizontal_Distance_To_Roadways
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3448
Distinct (%)	34.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2333.747025

Minimum	0
Maximum	6942
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	379
Q1	1106
median	1991
Q3	3282
95-th percentile	5436
Maximum	6942
Range	6942
Interquartile range (IQR)	2176

Descriptive statistics

Standard deviation	1536.500439
Coefficient of variation (CV)	0.6583834592
Kurtosis	-0.3466448877
Mean	2333.747025
Median Absolute Deviation (MAD)	1018
Skewness	0.7178935579
Sum	23339804
Variance	2360833.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150	25	0.2%
1020	22	0.2%
942	19	0.2%
960	19	0.2%
1140	19	0.2%
997	18	0.2%
1200	17	0.2%
752	17	0.2%
618	16	0.2%
990	16	0.2%
Other values (3438)	9813	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	< 0.1%
30	3	< 0.1%
42	1	< 0.1%
60	5	< 0.1%
67	5	< 0.1%
85	6	0.1%
90	5	< 0.1%
95	9	0.1%
108	13	0.1%
120	9	0.1%

Value	Count	Frequency (%)
6942	1	< 0.1%
6916	1	< 0.1%
6785	1	< 0.1%
6732	1	< 0.1%
6721	1	< 0.1%
6684	1	< 0.1%
6677	1	< 0.1%
6641	2	< 0.1%
6616	1	< 0.1%
6595	1	< 0.1%

Horizontal_Distance_To_Fire_Points
Real number (ℝ_≥0)

Distinct	2889
Distinct (%)	28.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1969.249375

Minimum	30
Maximum	7110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	30
5-th percentile	426
Q1	1026
median	1695
Q3	2539
95-th percentile	4932
Maximum	7110
Range	7080
Interquartile range (IQR)	1513

Descriptive statistics

Standard deviation	1313.107337
Coefficient of variation (CV)	0.6668060196
Kurtosis	1.725009728
Mean	1969.249375
Median Absolute Deviation (MAD)	735
Skewness	1.316048503
Sum	19694463
Variance	1724250.88
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
997	27	0.3%
960	22	0.2%
1142	21	0.2%
1500	20	0.2%
990	20	0.2%
618	20	0.2%
1471	19	0.2%
1110	19	0.2%
582	18	0.2%
607	18	0.2%
Other values (2879)	9797	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	3	< 0.1%
42	3	< 0.1%
60	2	< 0.1%
67	7	0.1%
85	5	< 0.1%
90	1	< 0.1%
95	8	0.1%
108	2	< 0.1%
120	5	< 0.1%
124	6	0.1%

Value	Count	Frequency (%)
7110	1	< 0.1%
7091	1	< 0.1%
7006	1	< 0.1%
6995	1	< 0.1%
6962	1	< 0.1%
6879	1	< 0.1%
6833	1	< 0.1%
6742	1	< 0.1%
6732	1	< 0.1%
6726	1	< 0.1%

wilderness_area1
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	5537
1	4464

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	5537	55.4%
1	4464	44.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	5537	55.4%
1	4464	44.6%

Most occurring characters

Value	Count	Frequency (%)
0	5537	55.4%
1	4464	44.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5537	55.4%
1	4464	44.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5537	55.4%
1	4464	44.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5537	55.4%
1	4464	44.6%

wilderness_area2
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9493
1	508

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	9493	94.9%
1	508	5.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9493	94.9%
1	508	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	9493	94.9%
1	508	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9493	94.9%
1	508	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9493	94.9%
1	508	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9493	94.9%
1	508	5.1%

wilderness_area3
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	5599
1	4402

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5599	56.0%
1	4402	44.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	5599	56.0%
1	4402	44.0%

Most occurring characters

Value	Count	Frequency (%)
0	5599	56.0%
1	4402	44.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5599	56.0%
1	4402	44.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5599	56.0%
1	4402	44.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5599	56.0%
1	4402	44.0%

wilderness_area4
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9374
1	627

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9374	93.7%
1	627	6.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9374	93.7%
1	627	6.3%

Most occurring characters

Value	Count	Frequency (%)
0	9374	93.7%
1	627	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9374	93.7%
1	627	6.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9374	93.7%
1	627	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9374	93.7%
1	627	6.3%

soil_type_1
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9941
1	60

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9941	99.4%
1	60	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9941	99.4%
1	60	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	9941	99.4%
1	60	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9941	99.4%
1	60	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9941	99.4%
1	60	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9941	99.4%
1	60	0.6%

soil_type_2
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9873
1	128

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9873	98.7%
1	128	1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9873	98.7%
1	128	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	9873	98.7%
1	128	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9873	98.7%
1	128	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9873	98.7%
1	128	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9873	98.7%
1	128	1.3%

soil_type_3
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9933
1	68

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9933	99.3%
1	68	0.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9933	99.3%
1	68	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	9933	99.3%
1	68	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9933	99.3%
1	68	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9933	99.3%
1	68	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9933	99.3%
1	68	0.7%

soil_type_4
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9792
1	209

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9792	97.9%
1	209	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9792	97.9%
1	209	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	9792	97.9%
1	209	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9792	97.9%
1	209	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9792	97.9%
1	209	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9792	97.9%
1	209	2.1%

soil_type_5
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9971
1	30

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9971	99.7%
1	30	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9971	99.7%
1	30	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	9971	99.7%
1	30	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9971	99.7%
1	30	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9971	99.7%
1	30	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9971	99.7%
1	30	0.3%

soil_type_6
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9906
1	95

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9906	99.1%
1	95	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9906	99.1%
1	95	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	9906	99.1%
1	95	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9906	99.1%
1	95	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9906	99.1%
1	95	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9906	99.1%
1	95	0.9%

soil_type_7
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	10001

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10001	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10001	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10001	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10001	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10001	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10001	100.0%

soil_type_8
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9999
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9999	> 99.9%
1	2	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9999	> 99.9%
1	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	9999	> 99.9%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9999	> 99.9%
1	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9999	> 99.9%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9999	> 99.9%
1	2	< 0.1%

soil_type_9
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9978
1	23

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9978	99.8%
1	23	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9978	99.8%
1	23	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	9978	99.8%
1	23	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9978	99.8%
1	23	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9978	99.8%
1	23	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9978	99.8%
1	23	0.2%

soil_type_10
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9425
1	576

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9425	94.2%
1	576	5.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9425	94.2%
1	576	5.8%

Most occurring characters

Value	Count	Frequency (%)
0	9425	94.2%
1	576	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9425	94.2%
1	576	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9425	94.2%
1	576	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9425	94.2%
1	576	5.8%

soil_type_11
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9784
1	217

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9784	97.8%
1	217	2.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9784	97.8%
1	217	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	9784	97.8%
1	217	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9784	97.8%
1	217	2.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9784	97.8%
1	217	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9784	97.8%
1	217	2.2%

soil_type_12
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9513
1	488

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9513	95.1%
1	488	4.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9513	95.1%
1	488	4.9%

Most occurring characters

Value	Count	Frequency (%)
0	9513	95.1%
1	488	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9513	95.1%
1	488	4.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9513	95.1%
1	488	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9513	95.1%
1	488	4.9%

soil_type_13
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9700
1	301

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9700	97.0%
1	301	3.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9700	97.0%
1	301	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	9700	97.0%
1	301	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9700	97.0%
1	301	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9700	97.0%
1	301	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9700	97.0%
1	301	3.0%

soil_type_14
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9989
1	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9989	99.9%
1	12	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9989	99.9%
1	12	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	9989	99.9%
1	12	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9989	99.9%
1	12	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9989	99.9%
1	12	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9989	99.9%
1	12	0.1%

soil_type_15
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	10001

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10001	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10001	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10001	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10001	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10001	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10001	100.0%

soil_type_16
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9952
1	49

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9952	99.5%
1	49	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9952	99.5%
1	49	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	9952	99.5%
1	49	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9952	99.5%
1	49	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9952	99.5%
1	49	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9952	99.5%
1	49	0.5%

soil_type_17
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9938
1	63

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9938	99.4%
1	63	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9938	99.4%
1	63	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	9938	99.4%
1	63	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9938	99.4%
1	63	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9938	99.4%
1	63	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9938	99.4%
1	63	0.6%

soil_type_18
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9977
1	24

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9977	99.8%
1	24	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9977	99.8%
1	24	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	9977	99.8%
1	24	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9977	99.8%
1	24	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9977	99.8%
1	24	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9977	99.8%
1	24	0.2%

soil_type_19
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9950
1	51

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9950	99.5%
1	51	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9950	99.5%
1	51	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	9950	99.5%
1	51	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9950	99.5%
1	51	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9950	99.5%
1	51	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9950	99.5%
1	51	0.5%

soil_type_20
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9822
1	179

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9822	98.2%
1	179	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9822	98.2%
1	179	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	9822	98.2%
1	179	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9822	98.2%
1	179	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9822	98.2%
1	179	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9822	98.2%
1	179	1.8%

soil_type_21
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9988
1	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9988	99.9%
1	13	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9988	99.9%
1	13	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	9988	99.9%
1	13	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9988	99.9%
1	13	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9988	99.9%
1	13	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9988	99.9%
1	13	0.1%

soil_type_22
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9438
1	563

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	9438	94.4%
1	563	5.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9438	94.4%
1	563	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	9438	94.4%
1	563	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9438	94.4%
1	563	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9438	94.4%
1	563	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9438	94.4%
1	563	5.6%

soil_type_23
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9018
1	983

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9018	90.2%
1	983	9.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9018	90.2%
1	983	9.8%

Most occurring characters

Value	Count	Frequency (%)
0	9018	90.2%
1	983	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9018	90.2%
1	983	9.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9018	90.2%
1	983	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9018	90.2%
1	983	9.8%

soil_type_24
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9617
1	384

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9617	96.2%
1	384	3.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9617	96.2%
1	384	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	9617	96.2%
1	384	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9617	96.2%
1	384	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9617	96.2%
1	384	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9617	96.2%
1	384	3.8%

soil_type_25
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9992
1	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9992	99.9%
1	9	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9992	99.9%
1	9	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	9992	99.9%
1	9	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9992	99.9%
1	9	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9992	99.9%
1	9	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9992	99.9%
1	9	0.1%

soil_type_26
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9946
1	55

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9946	99.5%
1	55	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9946	99.5%
1	55	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	9946	99.5%
1	55	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9946	99.5%
1	55	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9946	99.5%
1	55	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9946	99.5%
1	55	0.5%

soil_type_27
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9979
1	22

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9979	99.8%
1	22	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9979	99.8%
1	22	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	9979	99.8%
1	22	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9979	99.8%
1	22	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9979	99.8%
1	22	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9979	99.8%
1	22	0.2%

soil_type_28
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9980
1	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

soil_type_29
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	7996
1	2005

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	7996	80.0%
1	2005	20.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	7996	80.0%
1	2005	20.0%

Most occurring characters

Value	Count	Frequency (%)
0	7996	80.0%
1	2005	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7996	80.0%
1	2005	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7996	80.0%
1	2005	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7996	80.0%
1	2005	20.0%

soil_type_30
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9518
1	483

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9518	95.2%
1	483	4.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9518	95.2%
1	483	4.8%

Most occurring characters

Value	Count	Frequency (%)
0	9518	95.2%
1	483	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9518	95.2%
1	483	4.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9518	95.2%
1	483	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9518	95.2%
1	483	4.8%

soil_type_31
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9572
1	429

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9572	95.7%
1	429	4.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9572	95.7%
1	429	4.3%

Most occurring characters

Value	Count	Frequency (%)
0	9572	95.7%
1	429	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9572	95.7%
1	429	4.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9572	95.7%
1	429	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9572	95.7%
1	429	4.3%

soil_type_32
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9033
1	968

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9033	90.3%
1	968	9.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9033	90.3%
1	968	9.7%

Most occurring characters

Value	Count	Frequency (%)
0	9033	90.3%
1	968	9.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9033	90.3%
1	968	9.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9033	90.3%
1	968	9.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9033	90.3%
1	968	9.7%

soil_type_33
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9239
1	762

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9239	92.4%
1	762	7.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9239	92.4%
1	762	7.6%

Most occurring characters

Value	Count	Frequency (%)
0	9239	92.4%
1	762	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9239	92.4%
1	762	7.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9239	92.4%
1	762	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9239	92.4%
1	762	7.6%

soil_type_34
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9980
1	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9980	99.8%
1	21	0.2%

soil_type_35
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9966
1	35

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9966	99.7%
1	35	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9966	99.7%
1	35	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	9966	99.7%
1	35	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9966	99.7%
1	35	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9966	99.7%
1	35	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9966	99.7%
1	35	0.3%

soil_type_36
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9998
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9998	> 99.9%
1	3	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9998	> 99.9%
1	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	9998	> 99.9%
1	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9998	> 99.9%
1	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9998	> 99.9%
1	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9998	> 99.9%
1	3	< 0.1%

soil_type_37
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	10000
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10000	> 99.9%
1	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10000	> 99.9%
1	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	10000	> 99.9%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10000	> 99.9%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10000	> 99.9%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10000	> 99.9%
1	1	< 0.1%

soil_type_38
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9742
1	259

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9742	97.4%
1	259	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9742	97.4%
1	259	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	9742	97.4%
1	259	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9742	97.4%
1	259	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9742	97.4%
1	259	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9742	97.4%
1	259	2.6%

soil_type_39
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9771
1	230

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9771	97.7%
1	230	2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9771	97.7%
1	230	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	9771	97.7%
1	230	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9771	97.7%
1	230	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9771	97.7%
1	230	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9771	97.7%
1	230	2.3%

soil_type_40
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	9821
1	180

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10001
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9821	98.2%
1	180	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	9821	98.2%
1	180	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	9821	98.2%
1	180	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9821	98.2%
1	180	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	10001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9821	98.2%
1	180	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9821	98.2%
1	180	1.8%

class
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Lodgepole_Pine	4621
Spruce_Fir	3563
Ponderosa_Pine	659
Krummholz	435
Douglas_fir	355
Other values (2)	368

Length

Max length	17
Median length	14
Mean length	12.06379362
Min length	5

Characters and Unicode

Total characters	120650
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Douglas_fir
2nd row	Lodgepole_Pine
3rd row	Lodgepole_Pine
4th row	Spruce_Fir
5th row	Spruce_Fir

Common Values

Value	Count	Frequency (%)
Lodgepole_Pine	4621	46.2%
Spruce_Fir	3563	35.6%
Ponderosa_Pine	659	6.6%
Krummholz	435	4.3%
Douglas_fir	355	3.5%
Aspen	248	2.5%
Cottonwood_Willow	120	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
lodgepole_pine	4621	46.2%
spruce_fir	3563	35.6%
ponderosa_pine	659	6.6%
krummholz	435	4.3%
douglas_fir	355	3.5%
aspen	248	2.5%
cottonwood_willow	120	1.2%

Most occurring characters

Value	Count	Frequency (%)
e	18992	15.7%
o	11950	9.9%
_	9318	7.7%
i	9318	7.7%
r	8575	7.1%
p	8432	7.0%
n	6307	5.2%
P	5939	4.9%
l	5651	4.7%
d	5400	4.5%
Other values (19)	30768	25.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	92368	76.6%
Uppercase Letter	18964	15.7%
Connector Punctuation	9318	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	18992	20.6%
o	11950	12.9%
i	9318	10.1%
r	8575	9.3%
p	8432	9.1%
n	6307	6.8%
l	5651	6.1%
d	5400	5.8%
g	4976	5.4%
u	4353	4.7%
Other values (9)	8414	9.1%

Uppercase Letter

Value	Count	Frequency (%)
P	5939	31.3%
L	4621	24.4%
F	3563	18.8%
S	3563	18.8%
K	435	2.3%
D	355	1.9%
A	248	1.3%
C	120	0.6%
W	120	0.6%

Connector Punctuation

Value	Count	Frequency (%)
_	9318	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	111332	92.3%
Common	9318	7.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	18992	17.1%
o	11950	10.7%
i	9318	8.4%
r	8575	7.7%
p	8432	7.6%
n	6307	5.7%
P	5939	5.3%
l	5651	5.1%
d	5400	4.9%
g	4976	4.5%
Other values (18)	25792	23.2%

Common

Value	Count	Frequency (%)
_	9318	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	120650	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	18992	15.7%
o	11950	9.9%
_	9318	7.7%
i	9318	7.7%
r	8575	7.1%
p	8432	7.0%
n	6307	5.2%
P	5939	4.9%
l	5651	4.7%
d	5400	4.5%
Other values (19)	30768	25.5%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Matrix

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	elevation	aspect	slope	horizontal_distance_to_hydrology	Vertical_Distance_To_Hydrology	Horizontal_Distance_To_Roadways	Horizontal_Distance_To_Fire_Points	wilderness_area1	wilderness_area2	wilderness_area3	wilderness_area4	soil_type_2	soil_type_10	soil_type_11	soil_type_22	soil_type_23	soil_type_29	soil_type_31	soil_type_32	class
0	2424	113	16	268	68	808	1260	0	0	0	1	1	0	0	0	0	0	0	0	Douglas_fir
1	3130	40	15	330	24	2279	1650	0	0	1	0	0	0	0	0	0	0	0	1	Lodgepole_Pine
2	3071	62	5	212	40	1321	2697	1	0	0	0	0	0	0	0	0	1	0	0	Lodgepole_Pine
3	3151	9	17	95	19	577	2029	0	1	0	0	0	0	0	1	0	0	0	0	Spruce_Fir
4	3139	74	3	283	9	2522	1463	1	0	0	0	0	0	0	0	0	1	0	0	Spruce_Fir
5	3089	328	7	175	7	242	1936	0	1	0	0	0	0	0	1	0	0	0	0	Spruce_Fir
6	3224	29	20	134	26	1052	1543	1	0	0	0	0	0	0	0	1	0	0	0	Ponderosa_Pine
7	2778	98	10	95	14	2863	240	0	0	1	0	0	1	0	0	0	0	0	0	Lodgepole_Pine
8	2822	348	21	60	9	2440	927	0	0	1	0	0	0	0	0	0	0	1	0	Lodgepole_Pine
9	2768	6	12	466	-19	721	789	0	0	1	0	0	0	1	0	0	0	0	0	Lodgepole_Pine

Last rows

	elevation	aspect	slope	horizontal_distance_to_hydrology	Vertical_Distance_To_Hydrology	Horizontal_Distance_To_Roadways	Horizontal_Distance_To_Fire_Points	wilderness_area1	wilderness_area2	wilderness_area3	soil_type_4	soil_type_11	soil_type_13	soil_type_16	soil_type_19	soil_type_22	soil_type_29	soil_type_32	soil_type_33	class
9991	2905	39	19	537	78	2072	1300	0	0	1	0	1	0	0	0	0	0	0	0	Ponderosa_Pine
9992	2635	171	26	95	56	1772	1234	0	0	1	1	0	0	0	0	0	0	0	0	Ponderosa_Pine
9993	3096	318	20	323	87	698	1744	0	0	1	0	0	0	0	0	1	0	0	0	Spruce_Fir
9994	3076	110	18	175	49	4846	2940	1	0	0	0	0	0	0	0	0	1	0	0	Lodgepole_Pine
9995	3277	188	18	330	89	1266	2717	1	0	0	0	0	0	0	0	0	1	0	0	Spruce_Fir
9996	2913	173	17	210	58	511	1040	0	0	1	0	0	1	0	0	0	0	0	0	Aspen
9997	2928	349	14	0	0	1165	2287	0	0	1	0	0	0	0	0	0	0	1	0	Lodgepole_Pine
9998	3329	165	13	997	213	2584	2242	0	0	1	0	0	0	0	0	0	0	0	1	Spruce_Fir
9999	3135	111	20	649	-59	582	1116	0	1	0	0	0	0	0	1	0	0	0	0	Lodgepole_Pine
10000	2834	0	12	30	3	4559	4788	1	0	0	0	0	0	1	0	0	0	0	0	Lodgepole_Pine

Most frequently occurring

	elevation	aspect	slope	horizontal_distance_to_hydrology	Vertical_Distance_To_Hydrology	Horizontal_Distance_To_Roadways	Horizontal_Distance_To_Fire_Points	wilderness_area1	wilderness_area3	wilderness_area4	soil_type_1	soil_type_5	soil_type_6	soil_type_10	soil_type_12	soil_type_14	soil_type_39	class	# duplicates
47	2855	82	7	95	22	2796	2778	1	0	0	0	0	0	0	1	0	0	Lodgepole_Pine	3
162	3314	287	16	666	163	3122	787	0	1	0	0	0	0	0	0	0	1	Spruce_Fir	3
0	1948	39	20	30	13	150	566	0	0	1	1	0	0	0	0	0	0	Ponderosa_Pine	2
1	2097	59	26	190	39	693	811	0	0	1	0	0	1	0	0	0	0	Ponderosa_Pine	2
2	2154	31	32	120	33	551	324	0	0	1	0	0	0	1	0	0	0	Douglas_fir	2
3	2185	320	27	170	96	785	953	0	0	1	0	0	0	1	0	0	0	Douglas_fir	2
4	2215	302	10	400	196	570	240	0	0	1	0	1	0	0	0	0	0	Ponderosa_Pine	2
5	2247	356	34	497	90	579	671	0	0	1	0	0	0	1	0	0	0	Ponderosa_Pine	2
6	2337	343	28	218	137	1370	924	0	0	1	0	0	0	1	0	0	0	Ponderosa_Pine	2
7	2374	5	15	0	0	693	1224	0	0	1	0	0	0	0	0	1	0	Douglas_fir	2

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII